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This book will provide research communities in Europe and Japan with an overview of scientific results and experiences achieved using innovative methods and approaches in computer science and other disciplines, which have a common interest in understanding and solving problems on information modelling and knowledge bases, as.
In the last decades information modelling and knowledge bases have become hot topics not only in academic communities related to information systems and computer science, but also in business areas where information technology is applied. This book includes papers submitted to the 17th European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2007). The EJC conferences constitute a world-wide research forum for the exchange of scientific results and experiences achieved in computer science and other related disciplines using innovative methods and progressive approaches. In this way a platform has been established drawing together researches as well as practitioners dealing with information modelling and knowledge bases. Thus the main topics of the EJC conferences target the variety of themes in the domain of information modelling, conceptual analysis, design and specification of information systems, ontologies, software engineering, knowledge and process management, data and knowledge bases. The organizers also aim at applying new progressive theories. To this end, much attention is being paid also to theoretical disciplines including cognitive science, artificial intelligence, logic, linguistics and analytical philosophy. The selected papers cover many areas of information modelling, namely theory of concepts, database semantics, knowledge representation, software engineering, WWW information management, context-based information retrieval, ontological technology, image databases, temporal and spatial databases, document data management, process management, and many others.
Within the last three decades, information modelling and knowledge bases have become essential subjects, not only for academic communities related to information systems and computer science, but also for businesses where information technology is applied. This book presents the proceedings of EJC 2014, the 24th International Conference on Information Modelling and Knowledge Bases, held in Kiel, Germany, in June 2014. The main themes of the conference were: conceptual modelling, including modelling and specification languages, domain specific conceptual modelling, and validating and communicating conceptual models; knowledge and information modelling and discovery, including knowledge representation and knowledge management, advanced data mining and analysis methods, as well as information recognition and information modelling; linguistics modelling; cross-cultural communication and social computing; environmental modelling; and multimedia data modelling and systems, which includes modelling multimedia information and knowledge, content-based multimedia data management, content-based multimedia retrieval as well as privacy and context enhancing technologies. This book will be of interest to all those who wish to keep abreast of new developments in the field of information modelling and knowledge bases.
Modelling of information is necessary in developing information systems. Information is acquired from many sources, by using various methods and tools. It must be recognized, conceptualized, and conceptually organized efficiently so that users can easily understand and use it. Modelling is needed to understand, explain, organize, predict, and reason on information. It also helps to master the role and functions of components of information systems. Modelling can be performed with many different purposes in mind, at different levels, and by using different notions and different background theories. It can be made by emphasizing users' conceptual understanding of information on a domain level, on an algorithmic level, or on representation levels. On each level, the objects and structures used on them are different, and different rules govern the behavior on them. Therefore the notions, rules, theories, languages, and methods for modelling on different levels are also different. It will be useful if we can develop theories and methodologies for modelling, to be used in different situations, because databases, knowledge bases, and repositories in knowledge management systems, developed on the basis of models and used to technically store information, are growing day by day. In this publication, the interest is focused on modelling of information, and one of the central topics is modelling of time. Scientific and technical papers of high quality are brought together in this book.
The amount and complexity of information is continually growing, and information modeling and knowledge bases have become important contributors to technology and to academic and industrial research in the 21st century. They address the complexities of modeling in digital transformation and digital innovation, reaching beyond the traditional borders of information systems and academic computer-science research. This book presents the proceedings of EJC 2022, the 32nd International conference on Information Modeling and Knowledge Bases, held as a hybrid event due to restrictions related to the Corona virus pandemic in Hamburg, Germany, from 30 May to 3 June 2022. The aim of the conference is to bring together experts from different areas of computer science and other disciplines with a common interest in understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference has always been open to new topics related to its main themes, and the content emphasis of the conferences have changed through the years according to developments in the research field, so philosophy and logic, cognitive science, knowledge management, linguistics, and management science, as well as machine learning and AI, are also relevant areas. This book presents 19 reviewed and selected papers covering a wide range of topics, upgraded as a result of comments and discussions during the conference. Providing a current overview of recent developments, the book will be of interest to all those using information modeling and knowledge bases as part of their work.
In the last decades, information modelling and knowledge bases have become essentially important subjects, not only in academic communities related to information systems and computer science, but also in the business area where information technology is applied. The 18th European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2008) continues the series of events that originally started as a cooperation initiative between Japan and Finland. Later, the geographical scope of these conferences expanded to cover the whole of Europe and other countries as well. The EJC conferences constitute a worldwide research forum for the exchange of scientific results and experiences achieved in computer science and other related disciplines using innovative methods and progressive approaches. In this way, a platform has been established drawing together researches as well as practitioners dealing with information modelling and knowledge bases. The main topics of EJC conferences target the variety of themes in the domain of information modelling, conceptual analysis, multimedia knowledge bases, design and specification of information systems, multimedia information modelling, multimedia systems, ontology, software engineering, knowledge and process management. The aim of this publication is also applying new progressive theories. To this end, much attention is paid also to theoretical disciplines including cognitive science, artificial intelligence, logic, linguistics and analytical philosophy.
Provide research communities in information modelling and knowledge bases with scientific results and experiences achieved by using innovative methodologies in computer science and other disciplines related to linguistics, philosophy, and psychology.
Information modelling and knowledge bases have become crucially important subjects in the last few decades. They continue to be increasingly relevant, not only in academic communities, but in every area of commerce and society where information technology
Information modeling and knowledge bases are important technologies for academic and industrial research that goes beyond the traditional borders of information systems and computer science. The amount and complexity of information to be dealt with grows continually, as do the levels of abstraction and the size of databases. This book presents the proceedings of the 30th International Conference on Information Modelling and Knowledge Bases (EJC2020), due to be held in Hamburg, Germany on 8 and 9 June 2020, but instead held as a virtual conference on the same dates due to the Corona-virus pandemic restrictions. The conference provides a research forum for the exchange of scientific results and experiences, and brings together experts from different areas of computer science and other disciplines with a common interest in information modeling and knowledge bases. The subject touches on many disciplines, with philosophy and logic, cognitive science, knowledge management, linguistics and management science, as well as the emerging fields of data science and machine learning, all being relevant areas. The 23 reviewed, selected, and upgraded contributions included here are the result of presentations, comments, and discussions from the conference, and reflect the themes of the conference sessions: learning and linguistics; systems and processes; data and knowledge representation; models and interfaces; formalizations and reasoning; models and modeling; machine learning; models and programming; environment and predictions; modeling emotion; and social networks. The book provides an overview of current research and applications, and will be of interest to all those working in the field.
The volume and complexity of information, together with the number of abstraction levels and the size of data and knowledge bases, grow continually. Data originating from diverse sources involves a combination of data from traditional legacy sources and unstructured data requiring backwards modeling, meanwhile, information modeling and knowledge bases have become important contributors to 21st-century academic and industrial research. This book presents the proceedings of EJC 2023, the 33rd International Conference on Information Modeling and Knowledge Bases, held from 5 to 9 June 2023 in Maribor, Slovenia. The aim of the EJC conferences is to bring together experts from different areas of computer science and from other disciplines that share the common interest of understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. The conference constitutes a research forum for the exchange of results and experiences by academics and practitioners dealing with information and knowledge bases. The topics covered at EJC 2023 encompass a wide range of themes including conceptual modeling; knowledge and information modeling and discovery; linguistic modeling; cross-cultural communication and social computing; environmental modeling and engineering; and multimedia data modeling and systems. In the spirit of adapting to the changes taking place in these areas of research, the conference was also open to new topics related to its main themes. Providing a current overview of progress in the field, this book will be of interest to all those whose work involves the use of information modeling and knowledge bases.